R: Determine the number of latent factors K.

choiceofK {CODEX}

R Documentation

Determine the number of latent factors K.

Description

Determines the number of latent variables K via AIC, BIC, and deviance reduction. A pdf file containing all three plots is generated.

Usage

choiceofK(AIC, BIC, RSS, K, filename)

Arguments

`AIC`	vector of AIC for each K returned from `normalize`
`BIC`	vector of BIC for each K returned from `normalize`
`RSS`	vector of RSS for each K returned from `normalize`
`K`	vector of K returned from `normalize`
`filename`	Filename of the output plot of AIC and RSS

Details

AIC: Akaike information criterion, used for model selection; BIC: Bayesian information criterion, used for model selection; RSS: residue sum of squares, used to plot scree plot and determine the 'elbow'.

Value

pdf file with three plots: AIC, BIC, and percentage of variance explained versus the number of latent factors.

Author(s)

Yuchao Jiang yuchaoj@wharton.upenn.edu

Examples

AIC <- normObjDemo$AIC
BIC <- normObjDemo$BIC
RSS <- normObjDemo$RSS
K <- normObjDemo$K
projectname <- bambedObjDemo$projectname
chr <- bambedObjDemo$chr
choiceofK(AIC, BIC, RSS, K, filename = paste(projectname, "_", chr, 
    "_choiceofK", ".pdf", sep = ""))

[Package CODEX version 1.14.1 Index]